Information quality on the World Wide Web: Development of a framework

Jaikrit Kandari, Erick C. Jones, Fiona Fui Hoon Nah, Ram R. Bishu

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Data consumers are provided with easy online access to information on the World Wide Web. However, consumers face information quality problems in their quest for information. This paper focuses on the development of an instrument to measure information quality (IQ) on the World Wide Web from a user's perspective. Based on a comprehensive review of the literature, 20 important IQ frameworks were identified. These models, though varied in their approach and application, share a number of characteristics regarding their classifications of the attributes of quality. The paper identifies common dimensions that exist across the existing IQ frameworks in the literature and develops a unified comprehensive framework for the measurement of IQ based on the identified thread of commonality and the intuitive approach. A survey instrument was developed and fine-tuned using the iterative cognitive interview process. The proposed survey instrument comprises 72 questions to measure 22 IQ dimensions.

Original languageEnglish (US)
Pages (from-to)324-343
Number of pages20
JournalInternational Journal of Information Quality
Volume2
Issue number4
DOIs
StatePublished - Nov 2011

Keywords

  • IQ
  • Information quality
  • Information quality frameworks
  • Reliability
  • Survey instrument

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications

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